The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-10"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4101699 (up from 4024009 yesterday: 1.93 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "282709 (up from 279311 yesterday: 1.22 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.89



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1329260 19710 1.51 79526 731 0.93 5.98
Spain 224350 772 0.35 26621 143 0.54 11.87
United Kingdom 220449 3924 1.81 31930 268 0.85 14.48
Italy 219070 802 0.37 30560 165 0.54 13.95
Russia 209688 11012 5.54 1915 88 4.82 0.91
France 177094 312 0.18 26383 70 0.27 14.90
Germany 171879 555 0.32 7569 20 0.26 4.40
Brazil 162699 6638 4.25 11123 467 4.38 6.84
Turkey 138657 1542 1.12 3786 47 1.26 2.73
Iran 107603 1383 1.30 6640 51 0.77 6.17
China 84010 20 0.02 4637 0 0.00 5.52
Canada 70091 1173 1.70 4991 168 3.48 7.12
Peru 67307 2292 3.53 1889 75 4.13 2.81
India 67161 4353 6.93 2212 111 5.28 3.29
Belgium 53081 485 0.92 8656 75 0.87 16.31
Netherlands 42826 245 0.58 5459 18 0.33 12.75
Saudi Arabia 39048 1912 5.15 246 7 2.93 0.63
Mexico 35022 1562 4.67 3465 112 3.34 9.89
Pakistan 30334 1598 5.56 659 23 3.62 2.17
Switzerland 30305 54 0.18 1833 3 0.16 6.05
Ecuador 29559 488 1.68 2127 410 23.88 7.20
Chile 28866 1647 6.05 312 8 2.63 1.08
Portugal 27581 175 0.64 1135 9 0.80 4.12
Sweden 26322 401 1.55 3225 5 0.16 12.25
Singapore 23336 876 3.90 20 0 0.00 0.09
Ireland 22996 236 1.04 1458 12 0.83 6.34
Belarus 22973 921 4.18 131 5 3.97 0.57
Qatar 22520 1189 5.57 14 1 7.69 0.06
United Arab Emirates 18198 781 4.48 198 13 7.03 1.09
Israel 16477 23 0.14 252 5 2.02 1.53
Poland 15996 345 2.20 800 15 1.91 5.00
Austria 15871 38 0.24 618 3 0.49 3.89
Japan 15777 114 0.73 624 17 2.80 3.96
Romania 15362 231 1.53 961 22 2.34 6.26
Ukraine 15232 522 3.55 391 15 3.99 2.57
Bangladesh 14657 887 6.44 228 14 6.54 1.56
Indonesia 14032 387 2.84 973 14 1.46 6.93
Colombia 11063 568 5.41 463 18 4.04 4.19
Korea, South 10909 35 0.32 256 0 0.00 2.35
Philippines 10794 184 1.73 719 15 2.13 6.66
Denmark 10627 110 1.05 529 3 0.57 4.98
Dominican Republic 10347 465 4.71 388 3 0.78 3.75
Serbia 10032 0 0.00 215 0 0.00 2.14
South Africa 10015 595 6.32 194 8 4.30 1.94
Egypt 9400 436 4.86 525 11 2.14 5.59
Kuwait 8688 1065 13.97 58 9 18.37 0.67
Panama 8448 166 2.00 244 7 2.95 2.89
Czechia 8123 28 0.35 280 4 1.45 3.45
Norway 8105 6 0.07 219 0 0.00 2.70
Australia 6948 9 0.13 97 0 0.00 1.40
Malaysia 6656 67 1.02 108 0 0.00 1.62
Morocco 6063 153 2.59 188 2 1.08 3.10
Argentina 6034 258 4.47 305 5 1.67 5.05
Finland 5962 82 1.39 267 2 0.75 4.48
Algeria 5723 165 2.97 502 8 1.62 8.77
Kazakhstan 5090 115 2.31 31 0 0.00 0.61
Bahrain 4941 167 3.50 8 0 0.00 0.16
Moldova 4927 60 1.23 169 8 4.97 3.43
Afghanistan 4402 369 9.15 120 5 4.35 2.73
Nigeria 4399 248 5.97 143 15 11.72 3.25
Ghana 4263 0 0.00 22 0 0.00 0.52
Luxembourg 3886 9 0.23 101 0 0.00 2.60
Oman 3399 175 5.43 17 0 0.00 0.50
Armenia 3313 138 4.35 45 1 2.27 1.36
Hungary 3263 50 1.56 413 8 1.98 12.66
Thailand 3009 5 0.17 56 0 0.00 1.86
Iraq 2767 88 3.28 109 2 1.87 3.94
Greece 2716 6 0.22 151 0 0.00 5.56
Cameroon 2579 305 13.41 114 6 5.56 4.42
Bolivia 2556 119 4.88 118 4 3.51 4.62
Azerbaijan 2519 97 4.00 32 1 3.23 1.27
Uzbekistan 2418 69 2.94 10 0 0.00 0.41
Croatia 2187 11 0.51 90 3 3.45 4.12
Guinea 2146 104 5.09 11 0 0.00 0.51
Bosnia and Herzegovina 2117 27 1.29 107 5 4.90 5.05
Honduras 1972 142 7.76 108 0 0.00 5.48
Bulgaria 1965 44 2.29 91 1 1.11 4.63
Iceland 1801 0 0.00 10 0 0.00 0.56
Cuba 1766 12 0.68 77 3 4.05 4.36
Estonia 1739 6 0.35 60 0 0.00 3.45
Senegal 1709 75 4.59 19 2 11.76 1.11
Cote d’Ivoire 1700 33 1.98 21 0 0.00 1.24
North Macedonia 1642 20 1.23 91 0 0.00 5.54
New Zealand 1497 3 0.20 21 0 0.00 1.40
Lithuania 1479 35 2.42 50 1 2.04 3.38
Slovakia 1457 2 0.14 26 0 0.00 1.78
Slovenia 1457 3 0.21 102 1 0.99 7.00
Sudan 1365 201 17.27 70 6 9.38 5.13
Djibouti 1210 21 1.77 3 0 0.00 0.25
Somalia 1054 57 5.72 51 3 6.25 4.84
Guatemala 1052 85 8.79 26 2 8.33 2.47
Tunisia 1032 0 0.00 45 0 0.00 4.36
Kyrgyzstan 1002 71 7.63 12 0 0.00 1.20

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 335395 2273 0.68 26641 29 0.11 7.94 17240.80 1369.47 1 in 58
New Jersey 138754 1357 0.99 9256 140 1.54 6.67 15621.60 1042.09 1 in 64
Massachusetts 77793 1050 1.37 4979 139 2.87 6.40 11194.04 716.45 1 in 89
Illinois 77741 1656 2.18 3406 57 1.70 4.38 6134.95 268.79 1 in 163
California 67600 1042 1.57 2716 29 1.08 4.02 1710.86 68.74 1 in 585
Pennsylvania 59939 1379 2.35 3806 27 0.71 6.35 4682.01 297.30 1 in 214
Michigan 47182 367 0.78 4555 25 0.55 9.65 4724.41 456.10 1 in 212
Florida 40596 595 1.49 1721 6 0.35 4.24 1890.14 80.13 1 in 529
Texas 39258 864 2.25 1094 28 2.63 2.79 1353.92 37.73 1 in 739
Georgia 33580 992 3.04 1406 3 0.21 4.19 3162.73 132.42 1 in 316
Connecticut 33554 570 1.73 2967 35 1.19 8.84 9411.30 832.19 1 in 106
Maryland 32587 1053 3.34 1644 30 1.86 5.04 5390.13 271.93 1 in 186
Louisiana 31600 183 0.58 2286 19 0.84 7.23 6797.46 491.74 1 in 147
Indiana 24126 394 1.66 1508 18 1.21 6.25 3583.66 224.00 1 in 279
Ohio 24081 384 1.62 1341 10 0.75 5.57 2060.12 114.72 1 in 485
Virginia 24081 885 3.82 839 12 1.45 3.48 2821.27 98.30 1 in 354
Colorado 19703 328 1.69 971 4 0.41 4.93 3421.41 168.61 1 in 292
Washington 16891 217 1.30 931 10 1.09 5.51 2218.15 122.26 1 in 451
Tennessee 14985 217 1.47 243 1 0.41 1.62 2192.98 35.56 1 in 456
North Carolina 14938 460 3.18 564 13 2.36 3.78 1424.28 53.78 1 in 702
Iowa 11959 288 2.47 265 13 5.16 2.22 3790.41 83.99 1 in 264
Rhode Island 11274 285 2.59 422 4 0.96 3.74 10642.26 398.35 1 in 94
Minnesota 11271 481 4.46 578 20 3.58 5.13 1998.53 102.49 1 in 500
Arizona 11119 159 1.45 536 4 0.75 4.82 1460.16 70.39 1 in 685
Wisconsin 10219 280 2.82 400 2 0.50 3.91 1755.11 68.70 1 in 570
Missouri 10068 157 1.58 503 9 1.82 5.00 1640.43 81.96 1 in 610
Alabama 9889 221 2.29 393 3 0.77 3.97 2016.85 80.15 1 in 496
Mississippi 9501 123 1.31 430 9 2.14 4.53 3192.38 144.48 1 in 313
Nebraska 8171 78 0.96 90 0 0.00 1.10 4224.03 46.53 1 in 237
South Carolina 7653 122 1.62 331 1 0.30 4.33 1486.39 64.29 1 in 673
Kansas 6951 122 1.79 174 0 0.00 2.50 2385.94 59.73 1 in 419
Kentucky 6440 0 0.00 304 0 0.00 4.72 1441.47 68.04 1 in 694
Delaware 6277 0 0.00 221 0 0.00 3.52 6446.12 226.95 1 in 155
District of Columbia 6272 170 2.79 323 12 3.86 5.15 8887.01 457.67 1 in 113
Utah 6251 148 2.43 67 1 1.52 1.07 1949.81 20.90 1 in 513
Nevada 6120 -51 -0.83 310 -3 -0.96 5.07 1986.91 100.64 1 in 503
New Mexico 4863 85 1.78 200 9 4.71 4.11 2319.22 95.38 1 in 431
Oklahoma 4589 99 2.20 272 2 0.74 5.93 1159.73 68.74 1 in 862
Arkansas 4012 265 7.07 91 3 3.41 2.27 1329.43 30.15 1 in 752
South Dakota 3517 124 3.65 34 0 0.00 0.97 3975.54 38.43 1 in 252
Oregon 3228 68 2.15 127 0 0.00 3.93 765.34 30.11 1 in 1307
New Hampshire 3071 60 1.99 133 2 1.53 4.33 2258.57 97.81 1 in 443
Idaho 2230 25 1.13 67 0 0.00 3.00 1244.37 37.39 1 in 804
Puerto Rico 2198 25 1.15 111 3 2.78 5.05 688.23 34.76 1 in 1453
North Dakota 1491 27 1.84 35 0 0.00 2.35 1956.53 45.93 1 in 511
Maine 1436 28 1.99 64 0 0.00 4.46 1068.28 47.61 1 in 936
West Virginia 1360 37 2.80 54 2 3.85 3.97 760.99 30.22 1 in 1314
Vermont 927 6 0.65 53 0 0.00 5.72 1485.60 84.94 1 in 673
Wyoming 662 9 1.38 7 0 0.00 1.06 1143.83 12.09 1 in 874
Hawaii 632 1 0.16 17 0 0.00 2.69 446.37 12.01 1 in 2240
Montana 458 0 0.00 16 0 0.00 3.49 428.53 14.97 1 in 2334
Alaska 379 1 0.26 10 0 0.00 2.64 518.08 13.67 1 in 1930

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1182998 335395 28.35 60811.39
New Jersey 312447 138754 44.41 35176.80
Massachusetts 388389 77793 20.03 55887.31
Illinois 429984 77741 18.08 33932.30
California 955664 67600 7.07 24186.54
Pennsylvania 284383 59939 21.08 22213.97
Michigan 285678 47182 16.52 28605.40
Florida 538948 40596 7.53 25093.33
Texas 501776 39258 7.82 17305.08
Georgia 243547 33580 13.79 22938.43
Connecticut 130192 33554 25.77 36516.56
Maryland 159931 32587 20.38 26453.77
Louisiana 215872 31600 14.64 46436.13
Indiana 140029 24126 17.23 20799.83
Ohio 204862 24081 11.75 17525.90
Virginia 143055 24081 16.83 16759.97
Colorado 100610 19703 19.58 17470.85
Washington 242989 16891 6.95 31909.71
Tennessee 261869 14985 5.72 38323.19
North Carolina 192135 14938 7.77 18319.36
Iowa 74174 11959 16.12 23509.46
Rhode Island 91213 11274 12.36 86101.90
Minnesota 111088 11271 10.15 19697.74
Arizona 137739 11119 8.07 18088.11
Wisconsin 115382 10219 8.86 19816.80
Missouri 115546 10068 8.71 18826.45
Alabama 127421 9889 7.76 25987.39
Mississippi 81602 9501 11.64 27418.65
Nebraska 45569 8171 17.93 23557.08
South Carolina 84457 7653 9.06 16403.51
Kansas 52505 6951 13.24 18022.43
Kentucky 86923 6440 7.41 19455.99
Delaware 31039 6277 20.22 31875.28
District of Columbia 29570 6272 21.21 41898.75
Utah 146510 6251 4.27 45699.29
Nevada 58809 6120 10.41 19092.86
New Mexico 97053 4863 5.01 46285.61
Oklahoma 95968 4589 4.78 24252.89
Arkansas 65528 4012 6.12 21713.65
South Dakota 23894 3517 14.72 27009.28
Oregon 75507 3228 4.28 17902.25
New Hampshire 33453 3071 9.18 24603.02
Idaho 32142 2230 6.94 17935.73
Puerto Rico 2198 2198 100.00 688.23
North Dakota 44869 1491 3.32 58878.41
Maine 23528 1436 6.10 17503.19
West Virginia 62644 1360 2.17 35052.52
Vermont 20048 927 4.62 32128.77
Wyoming 12064 662 5.49 20844.60
Hawaii 37270 632 1.70 26323.00
Montana 21704 458 2.11 20307.30
Alaska 27364 379 1.39 37405.76

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 22171 1943 9.61 4199 18.94 17140 832 53 6.80 3.75
Gujarat 8195 398 5.10 2545 31.06 5157 493 21 4.45 6.02
Tamil Nadu 7204 669 10.24 1959 27.19 5198 47 3 6.82 0.65
Delhi 6923 381 5.82 2069 29.89 4781 73 5 7.35 1.05
Rajasthan 3814 73 1.95 2241 58.76 1465 108 1 0.93 2.83
Madhya Pradesh 3614 157 4.54 1676 46.38 1723 215 4 1.90 5.95
Uttar Pradesh 3467 94 2.79 1653 47.68 1735 79 5 6.76 2.28
Andhra Pradesh 1980 50 2.59 925 46.72 1010 45 1 2.27 2.27
West Bengal 1939 153 8.57 417 21.51 1337 185 14 8.19 9.54
Punjab 1823 61 3.46 166 9.11 1626 31 0 0.00 1.70
Telangana 1196 33 2.84 751 62.79 415 30 0 0.00 2.51
Jammu and Kashmir 861 25 2.99 383 44.48 469 9 0 0.00 1.05
Karnataka 848 54 6.80 422 49.76 394 31 1 3.33 3.66
Haryana 731 56 8.30 310 42.41 411 10 1 11.11 1.37
Bihar 696 67 10.65 354 50.86 336 6 1 20.00 0.86
Kerala 513 7 1.38 489 95.32 20 4 0 0.00 0.78
Odisha 377 25 7.10 68 18.04 306 3 0 0.00 0.80
Chandigarh 173 4 2.37 24 13.87 146 3 1 50.00 1.73
Jharkhand 157 1 0.64 78 49.68 76 3 0 0.00 1.91
Tripura 151 16 11.85 2 1.32 149 0 0 NaN 0.00
Uttarakhand 68 1 1.49 46 67.65 21 1 0 0.00 1.47
Assam 62 0 0.00 35 56.45 26 1 0 0.00 1.61
Chhattisgarh 59 0 0.00 49 83.05 10 0 0 NaN 0.00
Himachal Pradesh 55 3 5.77 35 63.64 14 3 0 0.00 5.45
Ladakh 42 0 0.00 21 50.00 21 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 13 0 0.00 10 76.92 2 1 0 0.00 7.69
Puducherry 12 2 20.00 8 66.67 4 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 485134 81507 282 0.35 16.80 5428 348 30190 14986 18.39
Piemonte 210370 28665 116 0.41 13.63 2024 137 13650 3367 11.75
Emilia-Romagna 231637 26796 77 0.29 11.57 1562 150 7191 3845 14.35
Veneto 439522 18722 51 0.27 4.26 408 37 5591 1657 8.85
Toscana 178208 9774 29 0.30 5.48 350 78 4147 942 9.64
Liguria 67322 8788 50 0.57 13.05 481 41 2900 1281 14.58
Lazio 178569 7165 32 0.45 4.01 1265 84 4286 557 7.77
Marche 76367 6533 40 0.62 8.55 284 30 3251 960 14.69
Campania 114819 4588 12 0.26 4.00 435 20 1915 391 8.52
Puglia 78399 4313 27 0.63 5.50 343 34 2669 448 10.39
P.A. Trento 52039 4295 3 0.07 8.25 82 10 786 441 10.27
Sicilia 102403 3327 14 0.42 3.25 273 16 2069 256 7.69
Friuli Venezia Giulia 89449 3130 6 0.19 3.50 98 3 851 310 9.90
Abruzzo 48110 3103 17 0.55 6.45 233 10 1671 359 11.57
P.A. Bolzano 49571 2569 2 0.08 5.18 61 8 459 290 11.29
Umbria 46923 1411 4 0.28 3.01 42 6 113 71 5.03
Sardegna 34046 1340 6 0.45 3.94 83 10 515 120 8.96
Valle d’Aosta 9833 1157 5 0.43 11.77 46 2 113 139 12.01
Calabria 46111 1132 3 0.27 2.45 66 2 596 91 8.04
Basilicata 17916 385 3 0.79 2.15 45 1 143 27 7.01
Molise 9164 370 23 6.63 4.04 9 0 218 22 5.95

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 37732 735 1.99 2929 142 5.10 7.76 4419.47 343.07 1 in 226
Ontario 21469 321 1.52 1751 25 1.45 8.16 1459.30 119.02 1 in 685
Alberta 6253 96 1.56 117 1 0.86 1.87 1416.90 26.51 1 in 706
British Columbia 2330 0 0.00 129 0 0.00 5.54 455.89 25.24 1 in 2194
Nova Scotia 1018 7 0.69 47 0 0.00 4.62 1041.48 48.08 1 in 960
Saskatchewan 564 11 1.99 7 0 0.00 1.24 477.29 5.92 1 in 2095
Manitoba 287 3 1.06 7 0 0.00 2.44 208.35 5.08 1 in 4800
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1047 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 659 7 1.06
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 208 1 0.48
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 147 2 1.36
Gansu 139 2 1.44
Jilin 127 1 0.79
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4062.53 243.05 1 in 246
Spain 4808.19 570.53 1 in 208
United Kingdom 3318.02 480.58 1 in 301
Italy 3622.19 505.29 1 in 276
Russia 1451.13 13.25 1 in 689
France 2643.59 393.83 1 in 378
Germany 2076.08 91.42 1 in 482
Brazil 777.35 53.14 1 in 1286
Turkey 1715.84 46.85 1 in 583
Iran 1325.81 81.81 1 in 754
China 60.61 3.35 1 in 16498
Canada 1864.62 132.77 1 in 536
Peru 2092.23 58.72 1 in 478
India 50.16 1.65 1 in 19937
Belgium 4656.23 759.30 1 in 215
Netherlands 2492.78 317.75 1 in 401
Saudi Arabia 1185.43 7.47 1 in 844
Mexico 271.07 26.82 1 in 3689
Pakistan 153.98 3.35 1 in 6494
Switzerland 3536.17 213.89 1 in 283

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 184417 19789 10.73
Cook Illinois 52655 2317 4.40
Nassau New York 38217 1963 5.14
Suffolk New York 36702 1617 4.41
Los Angeles California 31703 1531 4.83
Westchester New York 31294 1218 3.89
Philadelphia Pennsylvania 18211 894 4.91
Wayne Michigan 18075 2097 11.60
Middlesex Massachusetts 17589 1207 6.86
Hudson New Jersey 17513 969 5.53
Bergen New Jersey 16929 1355 8.00
Essex New Jersey 15646 1423 9.09
Suffolk Massachusetts 15279 718 4.70
Passaic New Jersey 14543 744 5.12
Union New Jersey 14057 867 6.17
Miami-Dade Florida 14007 487 3.48
Middlesex New Jersey 13937 793 5.69
Fairfield Connecticut 13236 1024 7.74
Rockland New York 12451 562 4.51
Essex Massachusetts 11353 644 5.67
Orange New York 9543 367 3.85
Prince George’s Maryland 9496 353 3.72
New Haven Connecticut 9209 701 7.61
Harris Texas 7878 172 2.18
Worcester Massachusetts 7743 444 5.73
Oakland Michigan 7736 843 10.90
Ocean New Jersey 7462 540 7.24
Marion Indiana 7336 416 5.67
Hartford Connecticut 7263 909 12.52
Providence Rhode Island 7138 0 0.00
King Washington 7007 500 7.14
Norfolk Massachusetts 6952 650 9.35
Monmouth New Jersey 6894 443 6.43
Montgomery Maryland 6762 382 5.65
Jefferson Louisiana 6709 397 5.92
Orleans Louisiana 6682 468 7.00
Plymouth Massachusetts 6382 393 6.16
District of Columbia District of Columbia 6272 323 5.15
Macomb Michigan 6042 698 11.55
Fairfax Virginia 5892 239 4.06
Dallas Texas 5870 143 2.44
Broward Florida 5858 257 4.39
Morris New Jersey 5854 516 8.81
Maricopa Arizona 5827 247 4.24
Mercer New Jersey 5317 334 6.28
Montgomery Pennsylvania 5260 525 9.98
Lake Illinois 5245 173 3.30
Riverside California 4992 204 4.09
Delaware Pennsylvania 4976 395 7.94
Bristol Massachusetts 4931 266 5.39

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc